GitHub

A Python package with a plotting class and routines for publication-ready graphics.

mcplot provides a class that combines methods to easily produce publication-ready graphics on light or black background. It includes a large number of colormaps collected from different sources. There ...
Visual Studio Magazine

Binary Classification Using LightGBM

Dr. James McCaffrey from Microsoft Research presents a full-code, step-by-step tutorial on using the LightGBM tree-based system to perform binary classification (predicting a discrete variable that ...
Visual Studio Magazine

Multi-Class Classification Using LightGBM

Dr. James McCaffrey of Microsoft Research provides a full-code, step-by-step machine learning tutorial on how to use the LightGBM system to perform multi-class classification using Python and the ...
51CTO

用Python进行相关性分析，5行代码就够了

相关性分析是指对多个具备相关关系的变量进行分析，从而衡量变量间的相关程度或密切程度。相关性可以应用到所有数据的分析过程中，任何事物之间都是存在一定的联系。相关性用R（相关系数）表示，R的取值范围是[-1, 1]。 1.相关和因果是一回事吗 相关性不 ...
Analytics India Magazine

The Most Important Numpy Functions You Should Know When Learning Python

Data science in Python often begins with understanding programming basics and using libraries for efficiency. NumPy is a key library in Python, known for its high-performance multi-dimensional arrays ...
GitHub

Python version of the Multivariate Empirical Mode Decomposition algorithm

This is a translation of the MEMD (Multivariate Empirical Mode Decomposition) code from Matlab to Python. The Matlab code was developed by [1] and is freely available ...